{"id":"W4405810874","doi":"10.54097/0yq1qy86","title":"Material Selection and Performance Optimization of Deep Ultraviolet Photodetectors- A Comparative Study of Silicon-Based and Wide-Bandgap Semiconductors","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Ga2O3 and related materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Photodetector; Ultraviolet; Materials science; Optoelectronics; Semiconductor; Band gap; Silicon; Sensitivity (control systems); Photoelectric effect; Computer science; Electronic engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004875682,0.0003728848,0.0003668283,0.0005241505,0.0002161734,0.0007032935,0.0003678586,0.000406822,0.0005407816],"category_scores_gemma":[0.0003891368,0.0002138659,0.0003199375,0.0006531134,0.0001272118,0.0005573696,0.0002089046,0.0001751756,0.0002285838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003106478,"about_ca_system_score_gemma":0.0002161921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003964937,"about_ca_topic_score_gemma":0.0007927884,"domain_scores_codex":[0.9997475,0.00003483208,0.00001524894,0.00004676096,0.0001214158,0.00003430446],"domain_scores_gemma":[0.9998381,0.00004510664,0.00003813456,0.00001152763,0.00005596795,0.00001107906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002586565,0.00008208127,0.002161229,0.0003068295,0.00004830295,0.0001695285,0.00004678304,0.00472451,0.9668929,0.0009240116,0.0003292907,0.02405599],"study_design_scores_gemma":[0.00001779698,0.0006132865,0.003832882,0.00003572712,0.00007487922,0.0002636646,0.000074289,0.01498103,0.9758933,0.0002315544,0.003957993,0.00002348249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636536,0.01969125,0.009750298,0.0001793677,0.00005385199,0.00003925669,0.0002123333,0.0001246921,0.006295329],"genre_scores_gemma":[0.9810987,0.005883681,0.01113191,0.0000390879,0.00001736977,0.00002006221,0.0001387533,0.00004396549,0.001626433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007032935,"threshold_uncertainty_score":0.002578497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007101095794228547,"score_gpt":0.2236311596592243,"score_spread":0.2165300638649957,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}